A Music Classification Method Based on Timbral Features
We present a method for music classification based solely on the audio contents of the music signal. More specifically, the audio signal is converted into a compact symbolic representation that retains timbral characteristics and accounts for the temporal structure of a music piece. Models that capture the temporal dependencies observed in the symbolic sequences of a set of music pieces are built using a statistical language modeling approach. The proposed method is evaluated on two classification tasks (Music Genre classification and Artist Identification) using publicly available datasets. Finally, a distance measure between music pieces is derived from the method and examples of playlists generated using this distance are given. The proposed method is compared with two alternative approaches which include the use of Hidden Markov Models and a classification scheme that ignores the temporal structure of the sequences of symbols. In both cases the proposed approach outperforms the alternatives.
Date: 2010-Feb-19 Time: 15:00:00 Room: 336
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Workshop “Metabolism and mathematical models: Two for a tango” – 2nd Edition
Title: Workshop Metabolism and mathematical models: Two for a tango – 2nd Edition
Dates: October 25-26, 2022
Location: This workshop will be held in a virtual way
The topic of this workshop is metabolism in general, with a special focus, although not exclusive, on parasitology. Besides an exploration of the biological, biochemical and biomedical aspects, the workshop will also aim at presenting some of the mathematical modelling, algorithmic theory and software development that have become crucial to explore such aspects.
This workshop is being organised in the context of two projects, both with the Inria European Team Erable. One of the projects involves a partnership with the University of São Paulo (USP), in São Paulo, Brazil, more specifically the Institute of Mathematics and Statistics (IME) and the Institute of Biomedical Sciences – Inria Associated Team Capoeira – and the other involves the Inesc-ID/IST in Portugal, ETH in Zürich and EMBL in Heidelberg – H2020 Twinning Project Olissipo.
The workshop is open to all members of these two projects but also, importantly, to the community in general.
The program and more details are available here.